Table 5.

Hierarchical logistic regression analysis – malignant lesion prediction in the tested group

	OR	95% CI		p
Model 1. AUC 0.856 (0.787-0.925)
Intercept	0.028	0.013	0.060	< 0.001
IOTA 1	36.471	15.020	88.558	< 0.001
Model 2. AUC 0.938 (0.890-0.986)
Intercept	0.007	0.002	0.027	< 0.001
IOTA 1	51.205	13.292	197.268	< 0.001
CA125 ≥ 138.5	36.173	9.642	135.715	< 0.001
Model 3. AUC 0.966 (0.930-1.002)
Intercept	0.001	0.000	0.009	< 0.001
age ≥ 47	19.569	2.817	135.931	0.003
BMI ≥ 30	5.478	1.240	24.202	0.025
≥ 2 pregnancies	0.929	0.245	3.523	0.913
Diabetes mellitus	0.282	0.035	2.239	0.231
Hypertension	0.494	0.122	2.011	0.325
IOTA 1	46.231	9.562	223.526	< 0.001
CA 125 ≥ 138.5	49.647	9.957	247.548	< 0.001

Numbers shown in table are areas under curve (AUC) with 95% confidence interval, OR – odds ratio, CI – confidence interval, p – probability χ² statistic for each parameter